ABSTRACT

This paper presents an important problem for the Brazilian economy, the classification of bovine raw hide and leather, and argues that this problem can be handled by computer vision and machine learning techniques. Some promising results, using standard techniques, like color based models and cooccurrence matrix based texture analysis, are reported. The paper also presents what seems to be the first major training and testing dataset of bovine raw hide and leather digital images.